华南预防医学 ›› 2026, Vol. 52 ›› Issue (6): 640-644.doi: 10.12183/j.scjpm.2026.0640

• 论著 • 上一篇    下一篇

2010—2024年白银市心脑血管疾病死亡趋势及年龄-时期-队列模型分析

龙开冲1, 马菊红1,2, 薛娟娟2, 马骥雄2, 张志东1   

  1. 1.甘肃中医药大学公共卫生学院,甘肃 兰州 730000;
    2.白银市疾病预防控制中心
  • 收稿日期:2025-09-09 出版日期:2026-06-20 发布日期:2026-07-03
  • 通讯作者: 马菊红,E-mail:354608823@qq.com
  • 作者简介:龙开冲(1999—),男,在读硕士研究生,研究方向为疾病预防与控制、慢性非传染性疾病防控
  • 基金资助:
    白银市科技计划项目(2024-2-31S,2023-1-52Y)

Cardiocerebrovascular disease mortality trends in Baiyin, 2010-2024: An age-period-cohort analysis

Long Kaichong1, Ma Juhong1,2, Xue Juanjuan2, Ma Jixiong2, Zhang Zhidong1   

  1. 1. Public Health College,Gansu University of Chinese Medicine, Lanzhou, Gansu 730000, China;
    2. Baiyin Disease Prevention and Control Center
  • Received:2025-09-09 Online:2026-06-20 Published:2026-07-03

摘要: 目的 分析2010—2024年白银市心脑血管疾病(CCVDs)死亡变化趋势,评估年龄、时期和队列对CCVDs死亡产生的影响。方法 基于白银市心脑血管疾病死因报告数据,采用Joinpoint线性回归分析CCVDs粗死亡率、标化死亡率、死因占比的变化趋势,应用年龄-时期-队列模型估计CCVDs粗死亡率的年龄效应、时期效应和队列效应。结果 2010—2024年白银市全人群CCVDs粗死亡率、标化死亡率总体趋势未见统计学显著变化(均P>0.05),死亡构成比总体呈显著上升趋势(AAPC:1.12%,95% CI:0.57%~1.66%,P<0.01)。年龄效应显示,粗死亡率随年龄增长而上升,男性高于女性,且在65岁后增速加快;时期效应显示,相较于2015—2019时期(RR=1),2010—2014年时期的死亡风险最高(全人群RR:1.38,95% CI:1.15~1.66);队列效应显示,出生年代较晚死亡风险总体呈下降趋势,尤其女性下降更为明显(1975年队列RR:0.45,95% CI:0.20~1.03)。结论 2010—2024年白银市心脑血管疾病死亡率变化趋于稳定,但死因占比呈显著上升趋势,基于年龄-时期-队列模型的分析表明其未来仍需重点关注。

关键词: 心脑血管疾病, 死亡, Joinpoint回归模型, 年龄-时期-队列模型

Abstract: Objective To analyze the mortality trends of cardiovascular and cerebrovascular diseases (CCVDs) in Baiyin City from 2010 to 2024 and to evaluate the effects of age, period, and cohort on CCVDs mortality. Methods Based on mortality data for CCVDs from Baiyin City, Joinpoint regression analysis was employed to examine the trends in crude mortality rate, age-standardized mortality rate, and the proportion of deaths attributable to CCVDs. An Age-Period-Cohort (APC) model was utilized to estimate the age, period, and cohort effects on the crude mortality rate of CCVDs. Results From 2010 to 2024, the overall trends in both the crude and age-standardized mortality rates for CCVDs in the total population of Baiyin City showed no statistically significant changes (both P>0.05). However, the proportional mortality of CCVDs exhibited a significant upward trend (AAPC: 1.12%, 95% CI: 0.57%-1.66%, P<0.01). The age effect indicated that the crude mortality rate increased with advancing age, was higher in males than in females, and accelerated after the age of 65. The period effect revealed that, relative to the 2015-2019 period (RR=1), the mortality risk was highest during the 2010-2014 period (RR for the total population: 1.38, 95% CI: 1.15-1.66). The cohort effect demonstrated a general decreasing trend in mortality risk for more recent birth cohorts, a decline that was particularly pronounced among females (RR for the 1975 birth cohort: 0.45, 95% CI: 0.20-1.03). Conclusion Over the period of 2010-2024, the mortality rate of cardiovascular and cerebrovascular diseases in Baiyin City has stabilized. Nevertheless, the proportion of deaths due to CCVDs is on a significant rise. The analysis from the Age-Period-Cohort model suggests that CCVDs warrant continued and focused public health attention in the future.

Key words: Cardiovascular and cerebrovascular diseases, Mortality, Joinpoint regression model, Age-period-cohort model

中图分类号: 

  • R195.4